Operational structural damage identification using de-noised modal feature in machine learning / Chen Shilei
Structural damage can severely affect the safety and functionality of the structure and lead to economic loss. Vibration-based structural damage detection has raised continuous interest over the decades, as a non-destructive way to provide warnings and predict certain faults at early stages. Comp...
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| Format: | Thesis |
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2021
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